Evidence map›Paper›PMID 32797067›Full record

ArticlePloS one2020

Mask or no mask for COVID-19: A public health and market study.

Tom Li, Yan Liu, Man Li, Xiaoning Qian, Susie Y Dai

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 3 pooled it
10.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 3 syntheses or guidelines pooled it, 324 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Efficacy and safety of COVID-19 vaccines: a systematic review.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
    Pooled it
  4. Trial
  5. Observational
  6. Article
  7. SyntheticRSC advances · 2024
    Review
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  15. Understanding lifetime and dispersion of cough-emitted droplets in air.Indoor + built environment : the journal of the International Society of the Built Environment · 2023
    Article
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  18. Article
  19. Article
  20. Article

57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Tom LiDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States of America.
Yan LiuDepartment of Marketing, Texas A&M University, College Station, TX, United States of America.
Man LiDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States of America.
Xiaoning QianDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States of America.
Susie Y DaiDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States of America.ORCID 0000-0002-5747-9222
Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousHumansInfection ControlMasksModels, TheoreticalPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32797067
PMCPMC7428176
OpenAlexW3049406819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.